Journal of Northeastern University Natural Science ›› 2016, Vol. 37 ›› Issue (11): 1546-1550.DOI: 10.12068/j.issn.1005-3026.2016.11.006

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An Uncertain Spatiotemporal Data Model Based on XML

BAI Lu-yi, XU Chang-ming, LIU Xu-long, YU Chang-yong   

  1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2015-07-07 Revised:2015-07-07 Online:2016-11-15 Published:2016-11-18
  • Contact: BAI Lu-yi
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Abstract: Uncertainty in spatiotemporal data is common and inevitable because of data distortion, data loss, or network delay. Accordingly, an approach that can process spatiotemporal data without being affected should be proposed. XML makes it powerful to model, represent, and manage uncertain spatiotemporal data. Data in traditional relational database is based on relations. When representing temporal attributes, it can generate a large amount of data redundancy. Therefore, it cannot represent uncertain spatiotemporal data in relational database effectively. The uncertain spatiotemporal data model was proposed to improve the ability of data representation, which was consist of classifying different kinds of XML nodes and introducing probability attributes to represent uncertain spatiotemporal XML nodes.

Key words: databases, spatiotemporal data, XML, uncertain, data model

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